ON-PREMISES · RUNTIME GOVERNANCE FOR ENTERPRISE AI
An agent tried to wire $50,000 nobody approved.
What Smartflow did
Fifteen seconds, behind the scenes.
One MCP call. Four things happened before the money could move.
-
01
Checks the agent's behavior.
Every argument in the call, against policy, before anything executes.
-
02
Escalates to the human in the loop.
The named person whose authority the agent is using — not a queue.
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03
Proceeds only after verification.
A live face check, at the assurance the risk calls for.
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04
Records the whole thing.
Examiner-ready hash-chained entry.
Autonomous agents in the wild
Can you name the human behind every model call your agents made yesterday?
Most enterprises cannot, and they find out while looking at a spend report. To attribute a call to a business unit, something has to sit in the path and read it. Once it does, the harder question becomes answerable too: which verified human was this agent acting for, what did it send, and what came back.
Your identity stack was built for people. Agents are not people.
1
question from
one person
40
unattended
model calls
Thirty-nine of those forty happen with nobody watching.
Chat scales with headcount. Agents scale with tasks, and every task fans out into retrieval, reasoning, tool calls and retries.
Same wire.
Both problems.
One control point
Security
Enforces policy on each prompt, response, and MCP tool call: block, redact, warn, allow, or hold the action for a verified human.
Finance
Meters, routes, caches, and holds the keys.
Both run at the same control point, because both need to see the same traffic. One deployment, on-premises, across any provider.
PROOF IN PRODUCTION
AGENT ACTION
Delete production database
HIGH RISK
Held, awaiting a decision
VERIFIED HUMAN
Cleared by the accountable human
VERIFY
Every agent acts on a named person's authority. When it reaches past that authority, the action pauses in the path and goes back to that person, through the proofing you already run, at an assurance that scales with the risk: a push to their phone for a routine action, a live face check for a wire. The record shows who decided.
PROTECT
Shield stops destructive tool calls before they execute.
Shield blocks destructive MCP tool calls before the database, repository, or filesystem receives them.
Capabilities
What runs in the path.
Compiled Enforcement Path
Rust-based infrastructure. Not a Python library in the request path. Infrastructure-grade performance for production workloads.
Semantic Caching
Four-phase BERT semantic cache. 62% semantic cache hit rate by day 90. Observed across design-partner deployments over 90-day windows. Results are workload-dependent and should be measured on the customer's own traffic during a scoped POC.
On-Premises Deployment
Runs in your data center or private cloud. No cloud dependency. No PyPI supply chain risk. No third-party data exposure.
Identity-Aware Governance
Every AI interaction authenticated against your enterprise IdP. Entra ID, LDAP, SAML, OIDC. Per-user audit trails tied to real identities.
Inline Policy Enforcement
No-code compliance engine. Policies enforced before prompts reach any model. EU AI Act, NIST AI RMF, FINRA, HIPAA mapping.
MCP Proxy Governance
Inline governance for agent-to-agent workflows. As agentic AI proliferates, MCP servers are the new attack surface. Smartflow governs them.
2026 Test Flight
Global financial-services design partner. Currently scoping a limited set of runtime-governance design partners across regulated industries.
The runtime governance layer for enterprise AI agents in regulated industries.
Products
Solutions
Industries
© 2026 APERION, Inc.